A Comparative Study of Graph Matching Algorithms in Computer Vision

Benchmark Results for “caltech-small15”

This page shows the benchmarks results for the dataset instance “caltech-small15”. We consider solutions as optimal if the objective value is within a 0.1% range of the known optimum -8616.76.

Run time 1s

method value bound optimal accuracy
dd-ls0 -8309.71 -8754.55 no 87.50%
dd-ls3 -6317.69 -11462.5 no 68.75%
dd-ls4 -6645.24 -15754.2 no 81.25%
fgmd inf -inf no
fm-bca -8579.02 -10507.3 no 87.50%
fm -8509.21 -35481.9 no 87.50%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -8606.4 -inf no 87.50%
ipfpu -8573.93 -inf no 87.50%
lsm inf -inf no
mp -7846.13 -10506.5 no 75.00%
mp-fw -8496.63 -11249 no 87.50%
mpm inf -inf no
mp-mcf -8037.4 -10806 no 68.75%
pm -5642.42 -inf no 50.00%
rrwm -8450.3 -inf no 87.50%
sm -3293.1 -inf no 43.75%
smac -5787.18 -inf no 43.75%

Run time 10s

method value bound optimal accuracy
dd-ls0 -8309.71 -8747.17 no 87.50%
dd-ls3 -8611.67 -8695.94 yes 87.50%
dd-ls4 -6933.51 -9560.8 no 68.75%
fgmd inf -inf no
fm-bca -8579.02 -10502.8 no 87.50%
fm -8616.76 -35481.9 yes 87.50%
fw 0 -inf no 0.00%
ga inf -inf no
hbp inf -inf no
ipfps -8606.4 -inf no 87.50%
ipfpu -8573.93 -inf no 87.50%
lsm 0 -inf no 0.00%
mp -8161.11 -10506.5 no 87.50%
mp-fw -8607.53 -10384.9 no 81.25%
mpm -7786.58 -inf no 87.50%
mp-mcf -8037.4 -10037 no 68.75%
pm -5642.42 -inf no 50.00%
rrwm -8450.3 -inf no 87.50%
sm -3293.1 -inf no 43.75%
smac -5787.18 -inf no 43.75%

Run time 100s

method value bound optimal accuracy
dd-ls0 -8309.71 -8747.17 no 87.50%
dd-ls3 -8611.67 -8695.67 yes 87.50%
dd-ls4 -8616.76 -8642.74 yes 87.50%
fgmd inf -inf no
fm-bca -8579.02 -10502.8 no 87.50%
fm -8616.76 -35481.9 yes 87.50%
fw 0 -inf no 0.00%
ga -8077.95 -inf no 81.25%
hbp inf -inf no
ipfps -8606.4 -inf no 87.50%
ipfpu -8573.93 -inf no 87.50%
lsm 0 -inf no 0.00%
mp -8161.11 -10506.5 no 87.50%
mp-fw -8607.53 -9537.69 no 81.25%
mpm -7786.58 -inf no 87.50%
mp-mcf -8445.09 -9465.51 no 81.25%
pm -5642.42 -inf no 50.00%
rrwm -8450.3 -inf no 87.50%
sm -3293.1 -inf no 43.75%
smac -5787.18 -inf no 43.75%

Run time 300s

method value bound optimal accuracy
dd-ls0 -8309.71 -8747.17 no 87.50%
dd-ls3 -8611.67 -8695.67 yes 87.50%
dd-ls4 -8616.76 -8642.74 yes 87.50%
fgmd -8611.49 -inf yes 87.50%
fm-bca -8616.76 -10502.8 yes 87.50%
fm -8616.76 -35481.9 yes 87.50%
fw 0 -inf no 0.00%
ga -8077.95 -inf no 81.25%
hbp inf -inf no
ipfps -8606.4 -inf no 87.50%
ipfpu -8573.93 -inf no 87.50%
lsm 0 -inf no 0.00%
mp -8161.11 -10506.5 no 87.50%
mp-fw -8607.53 -9389.02 no 81.25%
mpm -7786.58 -inf no 87.50%
mp-mcf -8514.51 -9380.23 no 81.25%
pm -5642.42 -inf no 50.00%
rrwm -8450.3 -inf no 87.50%
sm -3293.1 -inf no 43.75%
smac -5787.18 -inf no 43.75%

Other Results for this Dataset

Accumulated results for whole dataset: caltech-small

Results for individual instances of the dataset: